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Strategies for hepatocellular carcinoma therapy and diagnostics: Lessons learned from high throughput and profiling approaches
Author(s) -
Breuhahn Kai,
Gores Gregory,
Schirmacher Peter
Publication year - 2011
Publication title -
hepatology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 5.488
H-Index - 361
eISSN - 1527-3350
pISSN - 0270-9139
DOI - 10.1002/hep.24313
Subject(s) - hepatocellular carcinoma , profiling (computer programming) , medicine , computational biology , oncology , computer science , biology , operating system
Over the last decade, numerous small and high‐dimensional profiling analyses have been performed in human hepatocellular carcinoma (HCC), which address different levels of regulation and modulation. Because comprehensive analyses are lacking, the following review summarizes some of the general results and compares them with insights from other tumor entities. Particular attention is given to the impact of these results on future diagnostic and therapeutic approaches. (HEPATOLOGY 2011;)